Journal of Transportation Systems Engineering and Information Technology ›› 2018, Vol. 18 ›› Issue (3): 15-21.

• Forum about Comprehensive Transportation System • Previous Articles     Next Articles

Multi-dimensional Estimation Method of Spatial Characteristic Parameters of Transportation Infrastructure

HAO Jing-jing1, 3, ZHANG Ling1, 3, JI Xiao-feng2, 3, HAO Qing-yu4   

  1. 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China; 2. School of Traffic Engineering, Kunming University of Science and Technology, Kunming 650504, China; 3. Yunnan Engineering Research Center of Modern Logistics, Kunming 650504, China; 4. Changchun Municipal Engineering Design & Research Institute, Changchun 130000, China
  • Received:2018-01-19 Revised:2018-03-15 Online:2018-06-25 Published:2018-06-25

交通基础设施空间特征参数的多维估计方法

郝京京 1, 3,张玲 1, 3,戢晓峰* 2, 3,郝庆宇 4   

  1. 1. 西南交通大学 交通运输与物流学院 成都 610031;2. 昆明理工大学 交通工程学院 昆明 650504; 3. 云南省现代物流工程研究中心,昆明 650504;4. 长春市市政工程设计研究院,长春 130000
  • 作者简介:郝京京(1990-),男,河北石家庄人,博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(41501174);云南省交通科技创新示范研究项目/ Yunnan Province Transportation Science and Technology Innovation Demonstration Research Project(2017A14).

Abstract:

To extract the space attribute data of transportation infrastructure and obtain the spatial development regularity which can assist regional transportation planning, the theory of spatial differentiation and spatial deprivation is introduced. Considering the spatial heterogeneity coefficient and the spatial dependence coefficient, the spatial characteristic parameter multi-dimensional estimation method of transportation infrastructure is built based on transportation infrastructure development level evaluation data. Then taking the 12 provinces in the western China as an example, the effectiveness of the model is verified by comparatively analyzing the estimated results between provincial and urban scales. The results show that the development of transportation infrastructure is more balanced and the spatial dependence is not significant, and there is significant spatial dependence in city scales. Finally, based on the scenario hypothesis analysis, the decision value of spatial characteristic parameters on the allocation of transportation resources is verified. The method of multi-dimensional estimation can realize the accurate measurement of the parameters of spatial property of transportation infrastructure in different scales, and it has better applicability in the field of transportation planning.

Key words: transportation economy, spatial characteristic parameters, multi-dimensional estimation model, transportation infrastructure, spatial deprivation

摘要:

为系统提取交通基础设施的空间属性数据,获取其空间发展特征以辅助区域交通运输规划,本文基于空间分异理论和空间剥夺理论,采集交通基础设施发展水平评价数据,定义空间异质系数和空间依赖系数,构建了空间特征参数的多维估计方法;并以西部12省为实例,通过对比分析省域尺度和城市尺度的估计结果,验证模型的有效性.结果表明:省域尺度下交通基础设施空间发展较为均衡,空间依赖特性不显著;城市尺度下交通基础设施发展异质特征明显,存在显著的空间依赖特性.最后,基于情景假设分析,验证了空间特征参数对交通资源优化配置的重要决策价值.本文所构建的多维估计方法,可实现不同尺度下交通基础设施空间特征参数的精确测度,在交通运输规划领域具有较好的适用性.

关键词: 交通运输经济, 空间特征参数, 多维估计方法, 交通基础设施, 空间剥夺

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